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| fields = {{ubl|Probability|Functional analysis|Metric geometry|Computational geometry|Mathematical physics|Learning theory}}
| fields = {{ubl|Probability|Functional analysis|Metric geometry|Computational geometry|Mathematical physics|Learning theory}}
|prizes = {{hlist|[[Nessyahu Prize|Haim Nessyahu Prize for Mathematics]] <small>(2013)</small>|[[Erdős Prize]] in Mathematics <small>(2018)</small>|[[Blavatnik Awards for Young Scientists|Blavatnik Award for Young Scientists]] <small>(2022)</small>}}
|prizes = {{hlist|[[Nessyahu Prize|Haim Nessyahu Prize for Mathematics]] <small>(2013)</small>|[[Erdős Prize]] in Mathematics <small>(2018)</small>|[[Blavatnik Awards for Young Scientists|Blavatnik Award for Young Scientists]] <small>(2022)</small>
|[[New Horizons in Mathematics Prize]] <small>(2023)</small>}}
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Revision as of 11:08, 1 July 2023

Ronen Eldan
Ronen Eldan, 2020
Ronen Eldan, 2020
Born
רונן אלדן

1980 (age 43–44)
Tel Aviv, Israel
Alma mater
OccupationMathematician
SpouseBritt Hadar
Awards
Scientific career
Fields
  • Probability
  • Functional analysis
  • Metric geometry
  • Computational geometry
  • Mathematical physics
  • Learning theory
InstitutionsWeizmann Institute of Science
Doctoral advisors

Ronen Eldan (Template:Lang-he) is an Israeli mathematician. Eldan is a professor at the Weizmann Institute of Science working on probability theory, mathematical analysis, theoretical computer science and the theory of machine learning.[1] He received the 2018 Erdős Prize, the 2022 Blavatnik Award for Young Scientists[2] and the 2023 New Horizons Breakthrough Prize in Mathematics.[3][4] He was a speaker at the 2022 International Congress of Mathematicians.[5][6]

Selected works

  • Eldan, Ronen (19 February 2011). "A Polynomial Number of Random Points Does Not Determine the Volume of a Convex Body". Discrete & Computational Geometry. 46 (1). Springer Science and Business Media LLC: 29–47. arXiv:0903.2634. doi:10.1007/s00454-011-9328-x. ISSN 0179-5376. S2CID 16096886.
  • Eldan, Ronen (22 March 2013). "Thin Shell Implies Spectral Gap Up to Polylog via a Stochastic Localization Scheme". Geometric and Functional Analysis. 23 (2). Springer Science and Business Media LLC: 532–569. arXiv:1203.0893. doi:10.1007/s00039-013-0214-y. ISSN 1016-443X. S2CID 253637768.
  • Eldan, Ronen (30 October 2014). "A two-sided estimate for the Gaussian noise stability deficit". Inventiones Mathematicae. 201 (2). Springer Science and Business Media LLC: 561–624. arXiv:1307.2781. doi:10.1007/s00222-014-0556-6. ISSN 0020-9910. S2CID 253737938.
  • Sébastien Bubeck, Ronen Eldan: “Multi-scale exploration of convex functions and bandit convex optimization”, 2015; arXiv:1507.06580.
  • Sébastien Bubeck, Ronen Eldan, Yin Tat Lee: “Kernel-based methods for bandit convex optimization”, 2016; arXiv:1607.03084.
  • Eldan, Ronen; Lee, James R. (1 April 2018). "Regularization under diffusion and anticoncentration of the information content". Duke Mathematical Journal. 167 (5). Duke University Press. arXiv:1410.3887. doi:10.1215/00127094-2017-0048. ISSN 0012-7094. S2CID 119657905.

Awards

References